引用本文: | 陈中,唐浩然,邢强,周涛.计及随机时滞与丢包的电力系统广域信号预测补偿方法[J].电力系统保护与控制,2019,47(15):31-39.[点击复制] |
CHEN Zhong,TANG Haoran,XING Qiang,ZHOU Tao.A prediction compensation method considering stochastic time delay and data loss of power system wide-area signals[J].Power System Protection and Control,2019,47(15):31-39[点击复制] |
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摘要: |
针对广域信号在通信系统的传输过程中具有时滞与丢包以及在实际场景下对量测信号采样过程中信号具有噪声等问题,建立了一种基于灰色Verhulst的预测补偿模型。将该模型与完整集成经验模态分解(Complete Ensemble Empirical Mode Decomposition with adaptive noise, CEEMDAN)算法相结合,提出了一种电力系统广域信号的预测补偿方法。该方法首先通过CEEMDAN对广域信号进行降噪,然后采用灰色Verhulst预测方法对多个广域信号分别进行预测,得出统一时标的控制器输入信号。最后在OPNET-Matlab仿真平台中搭建了计及通信系统影响的两区四机系统,并在3种不同的通信场景下对所提算法进行验证。测试结果表明该方法具有一定的抗噪性能并可实现对具有时滞与丢包的广域信号预测补偿,为广域阻尼控制器的有效应用提供了一种新途径。 |
关键词: 广域电力系统稳定器 预测补偿 时滞与丢包 灰色预测 完整集成经验模态分解 |
DOI:10.7667/PSPC20191505 |
投稿时间:2018-08-20修订日期:2018-12-04 |
基金项目:国家重点研发计划项目资助(2016YFB0900602);国家自然科学基金资助项目资助(51277029);国家电网公司总部科技项目资助(SGTYHT/17-JS-199);江苏省智能电网技术与装备重点实验室课题项目资助 |
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A prediction compensation method considering stochastic time delay and data loss of power system wide-area signals |
CHEN Zhong,TANG Haoran,XING Qiang,ZHOU Tao |
(School of Electrical Engineering, Southeast University, Nanjing 210096, China;Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China) |
Abstract: |
In order to deal with the problems occurring in the transmission process of wide-area signals in communication system such as timedelay, dataloss and the signals noise of sampling process, this paper establishes a prediction compensation model based on grey Verhulst. Combined with the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) algorithm, a wide-area signal prediction compensation method is proposed. The method firstly conducts denoising to the input signals by CEEMDAN method and derives the input signals of the unified time label controller based on the forecasting of multiple wide-area signals by grey Verhulst prediction method. Finally, the four-machine two-area (2A4M) Kundur system considering impacts of communication system is simulated on the OPNET-Matlab simulation platform to validate the feasibility of the proposed method with three different communication cases. The test results reveal that the proposed prediction method is noise-tolerant and can conduct forecasting and compensation for wide-area signals containing timedelay and dataloss which provides a novel method for applications of wide-area damping controller. This work is supported by National Key Research and Development Program of China (No. 2016YFB0900602), National Natural Science Foundation of China (No. 51277029), and Science and Technology Project of the Headquarter of State Grid Corporation of China (No. SGTYHT/17-JS-199). |
Key words: WPSS prediction time delay and data loss grey prediction CEEMDAN |